Lead Data Engineer at Wise

Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

FintechIndustries

Requirements

7+ years experience in data engineering, with at least 2 years experience leading a team, ideally in a fast paced, high growth environment
Strong proficiency in Apache Airflow, dbt, and Azure Data Factory
Expertise in Snowflake, including advanced SQL, performance optimisation, and security features
Experience with real-time data processing (Apache Flink, Kafka)
Proven experience with MLOps tools and frameworks (MLflow, Kubeflow, or similar)
Hands-on experience deploying and integrating Generative AI models (OpenAI, Hugging Face, or similar)
Solid understanding of data governance frameworks and compliance requirements (GDPR, CCPA)
Proficiency in Python

Responsibilities

Lead the design, development, and maintenance of scalable data pipelines using Apache Airflow, dbt, and Azure Data Factory
Architect and optimise our Snowflake data warehouse, including schema design, performance tuning, and cost management
Implement and enforce data governance policies, including data masking, role-based access control, and compliance with regulatory standards
Drive MLOps initiatives: model deployment, monitoring, retraining pipelines, and integration with CI/CD workflows
Collaborate with cross-functional teams to operationalise ML models, including Generative AI solutions, into production systems
Partner with the Platforms team to oversee infrastructure-as-code deployments using Pulumi, Docker, Kubernetes and cloud-native services (Azure, AWS)
Lead, coach and guide a team of engineers, fostering a culture of best practices in coding, testing, and documentation alongside a culture of continuous learning and psychological safety
Partner with stakeholders across the business such as Operations to translate business requirements into technical solutions

Skills

Data Platform

Data Pipelines

Data Modeling

MLOps

Data Governance

Analytics

Wise

Facilitates low-cost international money transfers

About Wise

Wise focuses on international money transfers, providing a low-cost alternative to traditional banks. It uses a peer-to-peer system to match transfers between users in different countries, which helps reduce fees and offers better exchange rates. Customers pay a small, transparent fee for each transaction, and Wise also offers a multi-currency account for managing funds in various currencies. The company aims to maintain high performance and reliability while ensuring transparency and trust with its users.

London, United KingdomHeadquarters

2011Year Founded

$385.5MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

5,001-10,000Employees

Benefits

PTO & annual leave

Work from home flexibility

Parental leave

Medical insurance plans

Health & wellbeing discounts

Pension & retirement plans

Social events

Relocation support

Risks

Increased competition from banks integrating Swift services could challenge Wise's market share.

Regulatory scrutiny following Stenn's collapse may increase pressure on Wise.

Bitcoin's low transaction fees could attract customers away from Wise's services.

Differentiation

Wise offers a peer-to-peer system for low-cost international money transfers.

The company provides a multi-currency account for ex-pats, freelancers, and travelers.

Wise's transparent fee structure attracts customers seeking cost-effective money transfer solutions.

Upsides

Partnership with Morgan Stanley enhances Wise's cross-border settlement capabilities.

Expansion into India's remittance market presents significant growth opportunities for Wise.

API integrations offer additional revenue streams and market penetration for Wise.

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